The graph represents a network of 15,629 Twitter users whose recent tweets contained "#Coronavirusmadrid", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 10 March 2020 at 18:46 UTC.
The tweets in the network were tweeted over the 4-hour, 59-minute period from Tuesday, 10 March 2020 at 13:02 UTC to Tuesday, 10 March 2020 at 18:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 15629
Unique Edges : 18237
Edges With Duplicates : 1744
Total Edges : 19981
Number of Edge Types : 5
Retweet : 13484
MentionsInRetweet : 2683
Tweet : 2450
Mentions : 1005
Replies to : 359
Self-Loops : 2514
Reciprocated Vertex Pair Ratio : 0.00135445497909428
Reciprocated Edge Ratio : 0.00270524582451188
Connected Components : 1535
Single-Vertex Connected Components : 1027
Maximum Vertices in a Connected Component : 13045
Maximum Edges in a Connected Component : 16999
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.62333
Graph Density : 6.96171920761257E-05
Modularity : 0.772021
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 15,629 Twitter users whose recent tweets contained "#Coronavirusmadrid", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 10 March 2020 at 18:46 UTC.
The tweets in the network were tweeted over the 4-hour, 59-minute period from Tuesday, 10 March 2020 at 13:02 UTC to Tuesday, 10 March 2020 at 18:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #Coronavirusmadrid
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2951] universidad,vacía [2951] vacía,bar [2951] bar,enfrente [2951] enfrente,lleno [2950] lleno,#coronavirusmadrid [1213] sanidad,privada [1209] #coronavirusmadrid,#covid19espana [1193] #coronavirusespana,#coronavirusmadrid [1149] lavarse,manos [1125] privada,negocio Top Word Pairs in Tweet in G1:
[2742] universidad,vacía [2742] vacía,bar [2742] bar,enfrente [2742] enfrente,lleno [2742] lleno,#coronavirusmadrid [4] madrid,somos [4] somos,mejores [4] mejores,crisis [4] crisis,virus [4] virus,vaciamos Top Word Pairs in Tweet in G2:
[189] #coronavirusmadrid,#coronavirusespana [124] #coronavirusespana,#coronavirusmadrid [82] #coronavirusmadrid,#covid19espana [77] ortega,smith [68] #coronavirusmadrid,#covid2019 [55] #covid19espana,#coronavirusmadrid [52] #coronavirusespana,#covid19espana [40] #covid2019,#coronavirusmadrid [37] #coronavirusespana,#covid2019 [32] #covid19espana,#covid2019 Top Word Pairs in Tweet in G3:
[982] sanidad,privada [982] privada,negocio [981] #coronavirusmadrid,servido [981] servido,descubrir [981] descubrir,lavarse [981] lavarse,manos [981] manos,trabajo [981] trabajo,solas [981] solas,ordenador [981] ordenador,hacerse Top Word Pairs in Tweet in G4:
[264] mercadona,#coronavirusmadrid [228] #coronavirusmadrid,#mercadona [172] mercadona,arrasan [172] arrasan,condones [172] condones,pasa [172] pasa,pensáis [172] pensáis,estar [172] estar,encerrados [172] encerrados,casa [172] casa,follar Top Word Pairs in Tweet in G5:
[657] fuentes,oficiales [656] #coronavirusespaña,#coronavirusespana [649] oficiales,#coronavirusmadrid [640] #coronavirusespana,#coronavirusesp [639] audio,circula [639] circula,whatsapp [639] whatsapp,supuestamente [639] supuestamente,pertenece [639] pertenece,jefe [639] jefe,cardiología Top Word Pairs in Tweet in G6:
[235] pedro,sánchez [223] #coronavirusespana,#coronavirusmadrid [170] adiós,pollo [170] pollo,otras [170] otras,carnes [168] carnes,mercadona [168] mercadona,barrio [168] barrio,#coronavirusmadrid [168] #coronavirusmadrid,escuchar [168] escuchar,conversaciones Top Word Pairs in Tweet in G7:
[235] visto,cosas [235] cosas,creeríais [235] creeríais,liberales [235] liberales,pidiendo [235] pidiendo,estado [235] estado,proteja [235] proteja,coronavirus [235] coronavirus,recursos [235] recursos,públicos [235] públicos,#coronavirusmadrid Top Word Pairs in Tweet in G8:
[155] medidas,extraordinarias [146] #covid19espana,#coronavirusmadrid [103] propuestas,ccoo [103] ccoo,ugt_comunica [103] ugt_comunica,incidencia [91] #coronavirusmadrid,#coronavirusesp [88] #coronavirusespana,#covid19espana [85] importante,medidas [85] extraordinarias,abordar [85] abordar,problema Top Word Pairs in Tweet in G9:
[617] vistalegre,iii [617] iii,madrid [617] madrid,será [617] será,tumba [617] tumba,fascismo [617] fascismo,#coronavirusmadrid [28] sanidad,privada [24] ortega,smith [19] universidad,vacía [19] vacía,bar Top Word Pairs in Tweet in G10:
[557] gobierno,consciente [557] consciente,gravedad [557] gravedad,#coronavirusmadrid [557] #coronavirusmadrid,miembros [557] miembros,fueron [557] fueron,#8m2020 [557] #8m2020,guantes [557] guantes,látex [557] látex,cancelaron [557] cancelaron,manifestación Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: